Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Gian Luca Foresti

Gian Luca Foresti

VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization


Apr 20, 2021
Pankaj Mishra, Riccardo Verk, Daniele Fornasier, Claudio Piciarelli, Gian Luca Foresti

Figure 1 for VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization
Figure 2 for VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization
Figure 3 for VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization
Figure 4 for VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization
* IEEE ISIE 2021 
 * 6 Pages, 4 images, conference published paper 
  Access Paper or Ask Questions

Is It a Plausible Colour? UCapsNet for Image Colourisation


Dec 04, 2020
Rita Pucci, Christian Micheloni, Gian Luca Foresti, Niki Martinel

Figure 1 for Is It a Plausible Colour? UCapsNet for Image Colourisation
Figure 2 for Is It a Plausible Colour? UCapsNet for Image Colourisation
Figure 3 for Is It a Plausible Colour? UCapsNet for Image Colourisation
Figure 4 for Is It a Plausible Colour? UCapsNet for Image Colourisation

  Access Paper or Ask Questions

Image Anomaly Detection by Aggregating Deep Pyramidal Representations


Nov 12, 2020
Pankaj Mishra, Claudio Piciarelli, Gian Luca Foresti

Figure 1 for Image Anomaly Detection by Aggregating Deep Pyramidal Representations
Figure 2 for Image Anomaly Detection by Aggregating Deep Pyramidal Representations
Figure 3 for Image Anomaly Detection by Aggregating Deep Pyramidal Representations
Figure 4 for Image Anomaly Detection by Aggregating Deep Pyramidal Representations
* Published in First International Conference of Industrial Machine Learning ICPR2020 
  Access Paper or Ask Questions

Deep Iterative Residual Convolutional Network for Single Image Super-Resolution


Sep 07, 2020
Rao Muhammad Umer, Gian Luca Foresti, Christian Micheloni

Figure 1 for Deep Iterative Residual Convolutional Network for Single Image Super-Resolution
Figure 2 for Deep Iterative Residual Convolutional Network for Single Image Super-Resolution
Figure 3 for Deep Iterative Residual Convolutional Network for Single Image Super-Resolution
Figure 4 for Deep Iterative Residual Convolutional Network for Single Image Super-Resolution
* To be appeared in proceedings of the 25th IEEE International Conference on Pattern Recognition (ICPR). arXiv admin note: text overlap with arXiv:2005.00953, arXiv:2009.03693 
  Access Paper or Ask Questions

Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution


May 03, 2020
Rao Muhammad Umer, Gian Luca Foresti, Christian Micheloni

Figure 1 for Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution
Figure 2 for Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution
Figure 3 for Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution
Figure 4 for Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution

  Access Paper or Ask Questions

An Efficient UAV-based Artificial Intelligence Framework for Real-Time Visual Tasks


Apr 13, 2020
Enkhtogtokh Togootogtokh, Christian Micheloni, Gian Luca Foresti, Niki Martinel

Figure 1 for An Efficient UAV-based Artificial Intelligence Framework for Real-Time Visual Tasks
Figure 2 for An Efficient UAV-based Artificial Intelligence Framework for Real-Time Visual Tasks
Figure 3 for An Efficient UAV-based Artificial Intelligence Framework for Real-Time Visual Tasks
Figure 4 for An Efficient UAV-based Artificial Intelligence Framework for Real-Time Visual Tasks

  Access Paper or Ask Questions

Video-Based Convolutional Attention for Person Re-Identification


Sep 26, 2019
Marco Zamprogno, Marco Passon, Niki Martinel, Giuseppe Serra, Giuseppe Lancioni, Christian Micheloni, Carlo Tasso, Gian Luca Foresti

Figure 1 for Video-Based Convolutional Attention for Person Re-Identification
Figure 2 for Video-Based Convolutional Attention for Person Re-Identification
Figure 3 for Video-Based Convolutional Attention for Person Re-Identification
Figure 4 for Video-Based Convolutional Attention for Person Re-Identification
* 11 pages, 2 figures. Accepted by ICIAP2019, 20th International Conference on IMAGE ANALYSIS AND PROCESSING, Trento, Italy, 9-13 September, 2019 
  Access Paper or Ask Questions

Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator


Sep 18, 2019
Matteo Dunnhofer, Niki Martinel, Gian Luca Foresti, Christian Micheloni

Figure 1 for Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator
Figure 2 for Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator
Figure 3 for Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator
Figure 4 for Visual Tracking by means of Deep Reinforcement Learning and an Expert Demonstrator
* in 2019 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) - VOT2019 Challenge Workshop 
  Access Paper or Ask Questions

Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations


Sep 09, 2019
Rao Muhammad Umer, Gian Luca Foresti, Christian Micheloni

Figure 1 for Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations
Figure 2 for Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations
Figure 3 for Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations
Figure 4 for Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations
* 13th International Conference on Distributed Smart Cameras (ICDSC 2019) 
 * 7 pages 
  Access Paper or Ask Questions

Image anomaly detection with capsule networks and imbalanced datasets


Sep 06, 2019
Claudio Piciarelli, Pankaj Mishra, Gian Luca Foresti

Figure 1 for Image anomaly detection with capsule networks and imbalanced datasets
Figure 2 for Image anomaly detection with capsule networks and imbalanced datasets
Figure 3 for Image anomaly detection with capsule networks and imbalanced datasets
Figure 4 for Image anomaly detection with capsule networks and imbalanced datasets
* [978-3-030-30641-0, ICIAP 2019, Part I, LNCS 11751, paper approval (489497_1_En, Chapter 23)] 
 * Published in conference ICIAP 2019 
  Access Paper or Ask Questions

Deep Temporal Analysis for Non-Acted Body Affect Recognition


Jul 23, 2019
Danilo Avola, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti, Cristiano Massaroni

Figure 1 for Deep Temporal Analysis for Non-Acted Body Affect Recognition
Figure 2 for Deep Temporal Analysis for Non-Acted Body Affect Recognition
Figure 3 for Deep Temporal Analysis for Non-Acted Body Affect Recognition
Figure 4 for Deep Temporal Analysis for Non-Acted Body Affect Recognition

  Access Paper or Ask Questions

Exploiting Recurrent Neural Networks and Leap Motion Controller for Sign Language and Semaphoric Gesture Recognition


Mar 28, 2018
Danilo Avola, Marco Bernardi, Luigi Cinque, Gian Luca Foresti, Cristiano Massaroni

Figure 1 for Exploiting Recurrent Neural Networks and Leap Motion Controller for Sign Language and Semaphoric Gesture Recognition
Figure 2 for Exploiting Recurrent Neural Networks and Leap Motion Controller for Sign Language and Semaphoric Gesture Recognition
Figure 3 for Exploiting Recurrent Neural Networks and Leap Motion Controller for Sign Language and Semaphoric Gesture Recognition
Figure 4 for Exploiting Recurrent Neural Networks and Leap Motion Controller for Sign Language and Semaphoric Gesture Recognition

  Access Paper or Ask Questions

Group Re-Identification via Unsupervised Transfer of Sparse Features Encoding


Jul 28, 2017
Giuseppe Lisanti, Niki Martinel, Alberto Del Bimbo, Gian Luca Foresti

Figure 1 for Group Re-Identification via Unsupervised Transfer of Sparse Features Encoding
Figure 2 for Group Re-Identification via Unsupervised Transfer of Sparse Features Encoding
Figure 3 for Group Re-Identification via Unsupervised Transfer of Sparse Features Encoding
Figure 4 for Group Re-Identification via Unsupervised Transfer of Sparse Features Encoding
* This paper has been accepted for publication at ICCV 2017 
  Access Paper or Ask Questions

The UMCD Dataset


Apr 05, 2017
Danilo Avola, Gian Luca Foresti, Niki Martinel, Daniele Pannone, Claudio Piciarelli

Figure 1 for The UMCD Dataset
Figure 2 for The UMCD Dataset
Figure 3 for The UMCD Dataset
Figure 4 for The UMCD Dataset
* 3 pages, 5 figures 
  Access Paper or Ask Questions

Wide-Slice Residual Networks for Food Recognition


Dec 20, 2016
Niki Martinel, Gian Luca Foresti, Christian Micheloni

Figure 1 for Wide-Slice Residual Networks for Food Recognition
Figure 2 for Wide-Slice Residual Networks for Food Recognition
Figure 3 for Wide-Slice Residual Networks for Food Recognition
Figure 4 for Wide-Slice Residual Networks for Food Recognition

  Access Paper or Ask Questions